Activereasoningllm Proprietary

o1-pro

by OpenAI· Released December 2024· Cutoff October 2023

o1-pro is a premium reasoning model from OpenAI that extends the o1 series with enhanced inference compute for more reliable and higher-quality responses. It is designed for complex tasks requiring deep reasoning, such as advanced coding, scientific analysis, and multi-step problem solving. As a paid tier of o1, it offers improved performance over the standard o1 model at a higher cost.

Official Site API Docs

Input cost

$150.00 per 1M tokens

Output cost

$600.00 per 1M tokens

Context window

200K tokens

Max output

100K tokens

Modalities

text

License

proprietary

Capabilities

ReasoningCode GenerationFunction CallingStreamingJSON ModeStructured Outputs

Best For

Complex reasoning tasks that demand the highest accuracy and reliability, such as advanced coding, scientific research, and multi-step problem solving.

Strengths

Superior reasoning and problem-solving capabilities compared to standard o1
Higher reliability and consistency in outputs
Large context window (200K tokens) for handling extensive documents
Strong performance on math, science, and coding benchmarks

Limitations

Very high cost compared to other models
Slower response times due to increased inference compute
Not suitable for simple or real-time tasks where speed is critical
Limited to text-only input and output (no vision or audio)

Use Cases

Advanced code generation and debugging for large codebases

Complex mathematical and scientific problem solving

Multi-step reasoning tasks like legal analysis or research synthesis

Generating detailed technical documentation

Data analysis and interpretation of large datasets

Automated theorem proving or formal verification

High-stakes decision support requiring thorough reasoning

Improvements Over Previous Model

Enhanced reasoning with more inference compute compared to standard o1
Higher reliability and consistency in outputs
Improved performance on complex coding and scientific tasks
Larger context window (200K tokens) vs o1's 128K tokens
Higher output token limit (100K tokens) vs o1's 32K tokens
Premium pricing tier for enterprise-grade quality

Back to all models

Use Cases

Advanced code generation and debugging for large codebases

Complex mathematical and scientific problem solving

Multi-step reasoning tasks like legal analysis or research synthesis

Generating detailed technical documentation

Data analysis and interpretation of large datasets

Automated theorem proving or formal verification

High-stakes decision support requiring thorough reasoning

Improvements Over Previous Model

Enhanced reasoning with more inference compute compared to standard o1

Higher reliability and consistency in outputs

Improved performance on complex coding and scientific tasks

Larger context window (200K tokens) vs o1's 128K tokens

Higher output token limit (100K tokens) vs o1's 32K tokens

Premium pricing tier for enterprise-grade quality